Strategy & advisory
Use-case prioritization, business cases, and roadmaps aligned to measurable outcomes.
About Webnetis
An AI company built for execution
We are a consulting and engineering firm focused on production AI—agentic systems, generative applications, and machine learning platforms for regulated, operationally complex enterprises.
Mission
Webnetis is an AI company built for execution. We help enterprises adopt agentic AI, generative AI, and machine learning with the engineering discipline required to run in production.
Intelligent connections. Limitless possibilities.
Who we are
Webnetis partners with leadership, product, and technology teams to move from strategy to shipped systems. Our work spans opportunity assessment, architecture, implementation, and operational handover—so internal teams can own platforms after go-live.
Enterprise AI consulting · Agentic systems · Gen AI at scale
Delivery commitments
- Transparent scope, milestones, and success metrics agreed upfront
- Security, privacy, and responsible AI embedded in delivery—not bolted on later
- Documentation, runbooks, and knowledge transfer for your internal teams
Focus areas
Where we apply consulting and engineering depth.
Agentic & Gen AI engineering
LangGraph agents, RAG, guardrails, and channel integrations—including WhatsApp and enterprise copilots.
ML & intelligent automation
Predictive models, workflow automation, and MLOps for reliable production operations.
Data & platform foundations
Pipelines, governance, and cloud architecture that keep AI programs audit-ready.
At a glance
- Enterprise clients served
- 3500+
- Production AI deployments
- 300+
- Industry recognitions
- 25
How we work
Principles that guide delivery on every engagement.
01
Responsible AI
Safety, privacy, and governance are part of every architecture—not an afterthought.
02
Production-first
We ship systems that run in the real world, with SLAs your business can trust.
03
Partner, not vendor
We embed with your teams and leave you stronger after go-live.
Leadership & delivery
Senior practitioners across AI engineering, architecture, and program delivery.
| Name | Role |
|---|---|
Chetana Khawse | AI Developer |
James Dean | Lead ML Engineer |
Client perspectives
Representative feedback from enterprise AI programs.
“Webnetis took us from Gen AI experiments to a governed copilot in production—our support team cut resolution time by 40%.”
Priya Sharma
CTO, FinTech Solutions
“Their agentic workflow automation replaced hours of manual ops work. Clear roadmap, clean engineering, zero drama.”
Michael Lee
Head of IT, RetailCorp
“The ML platform they built still powers our forecasting two years later. Best AI partner we've worked with.”
Sara Ahmed
COO, HealthData Inc.
Platforms & tools
Technologies we use across client programs.
OpenAI · Azure AI · AWS · Python · PyTorch · TensorFlow · LangChain · Kubernetes · Databricks · Snowflake
Let's scope your next initiative
Tell us your goals—we'll map opportunities, architecture, timelines, and a practical path to production AI. Initial consultations are focused on clarity, not sales pressure.